Thesis Details

Hloubková analýza podobnosti kódu v malware kmenech

Bachelor's Thesis Student: Voščinár Martin Academic Year: 2021/2022 Supervisor: Zobal Lukáš, Ing.
Language
Slovak
Abstract

The goal of this thesis is the analysis of malware strains with the aim to discover relationships in terms of code similarity or its reuse. Specialized tools are used for the detection of binary code similarity. Selected strains are then analyzed using reverse engineering techniques to uncover the purpose and origin of such code. Based on these findings, detection patterns are created, efficiently detecting those threats. This research also points out the shortcomings of used tools and proposes options for improvement. In conclusion, the obtained results of this thesis are summarized and evaluated with prospects for the future.

Keywords

Malware, malware analysis, reverse engineering, binary code similarity, YARA.

Department
Degree Programme
Files
Status
defended, grade A
Date
14 June 2022
Reviewer
Committee
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), předseda
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Milet Tomáš, Ing., Ph.D. (DCGM FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
VOŠČINÁR, Martin. Hloubková analýza podobnosti kódu v malware kmenech. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Zobal Lukáš. Available from: https://www.fit.vut.cz/study/thesis/25140/
BibTeX
@bachelorsthesis{FITBT25140,
    author = "Martin Vo\v{s}\v{c}in\'{a}r",
    type = "Bachelor's thesis",
    title = "Hloubkov\'{a} anal\'{y}za podobnosti k\'{o}du v malware kmenech",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/25140/"
}
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